End of Training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-large-p2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: IndoBERTL2-Rating-Prediction
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# IndoBERTL2-Rating-Prediction
+
+This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7214
+- F1: 0.3668
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.15
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.1107        | 1.0   | 91   | 0.9732          | 0.2897 |
+| 0.9599        | 2.0   | 182  | 0.7898          | 0.3321 |
+| 0.466         | 3.0   | 273  | 0.7227          | 0.3712 |
+| 0.4197        | 4.0   | 364  | 0.7252          | 0.3689 |
+| 0.2964        | 5.0   | 455  | 0.7214          | 0.3668 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

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